Data Sciences
Data Mining
Big Data
Data Analytics
Support Vector Machines
Sentiment Analysis
Natural Language Processing
Fuzzy Logic
Data Warehousing
Data Fusion
Information Retrieval
AI
Deep Learning
Agents and Multi-agent Systems
Decision Making
Machine Learning
Large language models (LLMs)
Explainable AI
Digital Twins
Neural Networks
Pattern Recognition
Expert Systems
Innovations
Innovations using data science
Innovations using AI
Context and Justification
The digital transformation that Africa is witnessing inevitably demonstrates the interest in considering the digital sector as one of the essential levers of socio-economic development and structural transformation of countries. IT can be a springboard for the socio-economic development of Burkina Faso as it is for Kenya, Ethiopia or Rwanda. In this regard, quality training and research in IT are essential to have African expertise in the field and able to provide innovative solutions to the major growth and development concerns of different countries. One of the main concerns of the conference is to reflect on the contribution of IT to the endogenous development of African countries.